![](/sites/default/files/author-portraits/ben_henshall.png)



 

##### Ben Henshall

Regional Vice President Sales, Australia & New Zealand

 ![](/sites/default/files/logo-denodo-new.png)



 

 

 ![](/sites/default/files/author-portraits/chris-day.png)



 

##### Chris Day

Director, APAC Sales Engineering

 ![](/sites/default/files/logo-denodo-new.png)



 

 

 

 

Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Even with a wide array of tools and technologies at their disposal, data scientists are still spending most of the time massaging and manipulating the data into a usable data asset.

Data virtualization offers a new alternative to address these issues in a more efficient and agile way. Watch on-demand this session to learn how companies can use data virtualization to:

- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc



 

 

 

  

 ![Advanced Analytics and Machine Learning with Data Virtualization (Australia)](/sites/default/files/webinar-01.png)  Company Email\*  

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